Automation index
How much of a Data architect’s job can AI already do?
A lake diagram comes earlier. Data that can be used, and does not rot, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Data architect
28%
AI can already do 28% of this job.
#83 / 623
View rankingData architect
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511
IS WORK OVER?
Astronomer
27%
#134 / 623
View rankingAstronomer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Proposal, time and the instrument.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Observe, calibrate and the one that clouds over.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Reduce, the pipeline and the artefact.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Paper, the referee and not jumping.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The facility, the queue and not losing the night.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Reduce, and not selling the find early.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- telescope time
- calibrate
- pipelines
- papers
- artefacts
- nights
- proposals
- instruments
Sources for this job· O*NET 19-2011.00· ESCO/ISCO 2111